loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1
loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1
------------------------ arguments ------------------------
  batch_size ...................................... 65536
  batch_size_per_proc ............................. 65536
  data_dir ........................................ /dataset/f9f659c5/wdl_ofrecord
  data_part_name_suffix_length .................... 5
  data_part_num ................................... 256
  dataset_format .................................. ofrecord
  ddp ............................................. False
  deep_dropout_rate ............................... 0.5
  deep_embedding_vec_size ......................... 16
  deep_vocab_size ................................. 2322444
  eval_after_training ............................. False
  eval_batchs ..................................... 20
  eval_interval ................................... 0
  execution_mode .................................. graph
  hidden_size ..................................... 1024
  hidden_units_num ................................ 2
  learning_rate ................................... 0.001
  loss_print_every_n_iter ......................... 100
  max_iter ........................................ 1100
  model_load_dir .................................. 
  model_save_dir .................................. ./checkpoint
  num_deep_sparse_fields .......................... 26
  num_dense_fields ................................ 13
  num_wide_sparse_fields .......................... 2
  save_initial_model .............................. False
  save_model_after_each_eval ...................... False
  test_name ....................................... noname_test
  wide_vocab_size ................................. 2322444
-------------------- end of arguments ---------------------
[rank:0] iter: 100/1100, loss: 0.4969259500503540, latency(ms): 127.7310685813426971 | 2022-04-26 09:51:59.739
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/26 09:52:00.194, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29404 MiB, 3106 MiB
[rank:0] iter: 200/1100, loss: 0.4675993621349335, latency(ms): 97.1291357278823853 | 2022-04-26 09:52:09.452
[rank:0] iter: 300/1100, loss: 0.4618574976921082, latency(ms): 91.9133326038718224 | 2022-04-26 09:52:18.643
[rank:0] iter: 400/1100, loss: 0.4590765237808228, latency(ms): 95.9774602204561234 | 2022-04-26 09:52:28.241
[rank:0] iter: 500/1100, loss: 0.4562989175319672, latency(ms): 96.0401190072298050 | 2022-04-26 09:52:37.845
[rank:0] iter: 600/1100, loss: 0.4523820579051971, latency(ms): 93.9126038923859596 | 2022-04-26 09:52:47.236
[rank:0] iter: 700/1100, loss: 0.4466524124145508, latency(ms): 93.0921609699726105 | 2022-04-26 09:52:56.545
[rank:0] iter: 800/1100, loss: 0.4463045895099640, latency(ms): 93.9629143103957176 | 2022-04-26 09:53:05.941
[rank:0] iter: 900/1100, loss: 0.4455519914627075, latency(ms): 97.0906879380345345 | 2022-04-26 09:53:15.651
[rank:0] iter: 1000/1100, loss: 0.4451664090156555, latency(ms): 98.9896101132035255 | 2022-04-26 09:53:25.549
[rank:0] iter: 1100/1100, loss: 0.4448249340057373, latency(ms): 98.0041000247001648 | 2022-04-26 09:53:35.350